Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
21
datasets available to search
ShareScore release 0.9.0
Dataset results
21 results for “Evolutionary jump”
Supplementary Data for 'Crossing host boundaries: the evolutionary drivers and correlates of viral host jumps'
<p>This version provides the raw maximum likelihood trees with ancestral host states annotated, as described in Tan et al. 2024 (https://doi.org/10.1038/s41559-024-02353-4). </p> <p> </p> <p>Tip labels are formatted as {genbank accession}|{host}|{collection_date}|{country}.</p> <p>Nodel labels are formatted as follows:</p> <ul> <li>rooted_trees_simplified: {node name}|{host}, where {host} is the most likely ancestral state (i.e., highest ancestral state likelihood)</li> </ul> <ul> <li>rooted_trees: {node name}|{host1}:{likelihood1}|{host2}:{likelihood2}...|{hostn}:{likelihoodn}, which provides the raw ancestral state likelihoods for each host state. </li> <li>All node names correspond to those provided in the Supplementary Tables in Tan et al. 2024.</li> </ul> <p> </p> <p> </p>
Evolutionary allometry of sexual dimorphism of jumping performance in anurans
<p>Sexual dimorphism is a common feature in animals, yet the degree of sexual dimorphism is not constant across taxa. Sometimes the magnitude of sexual dimorphism varies systematically with body size, resulting in evolutionary allometry of sexual dimorphism. While such patterns are commonly investigated for traits such as overall size, allometric variation in sexual dimorphism of other traits remains underexplored. Here, we characterize the evolutionary allometry of sexual dimorphism in a functional phenotypic trait (jumping performance) in anurans. Using morphology and anatomical approximations of jumping performance across 146 species, we test for evidence of the correlated selection model of sexual dimorphism evolution. We analyze patterns of evolutionary allometry of sexual dimorphism in key phenotypic traits, including: body size (snout-vent length and mass), relative leg length, relative leg muscle volume, mass-specific peak jumping energy, and peak jumping velocity. We find that as previously reported, sexual size dimorphism scales isometrically between species and is independent of sexual dimorphism in jumping performance. Notably, however, we found significant trends in the evolutionary allometry of sexual dimorphism in relative limb length, and in two components of jumping performance. Additionally, we found greater rates of evolution for females versus males in relative limb length, but not jumping performance. We also observed that the allometric trends in limb length dimorphism were related to performance allometry. Sexual dimorphism in jumping performance increased in species with high performance while females in high performance species displayed increased relative limb length. Thus, we hypothesize that selection acting on functional performance explains allometric patterns of sexual dimorphism in morphology. We discuss biological implications of our findings in relation to natural and sexual selection. This study highlights the types of insights one may gain by studying the allometry of sexual dimorphism from a functional perspective to learn about both patterns and processes in evolution.</p>
Evolutionary allometry of sexual dimorphism of jumping performance in anurans
Open the record for dataset details and reuse information.
Figure 4 in escription and evolutionary biogeography of the first Miocene jumping spider (Aranaea: Salticidae) from a southern continent
Figure 4. Eyes, fang, setae, and neuronal tissue of Simaetha sp. indet. (AM F.161027). Scanning electron micrographs were taken without coating the specimen. A, overview of the part of the cephalothorax with the anterior median eyes. B, setae on the dorsal edge of the left anterior median eye; arrowheads point to three prominent setae. C, area next to the right anterior median eye with left leg I (LL I), left fang (F) and a prominent seta (S). D, close-up of the fang. E, F, seta bases (SB) on the left leg I; arrowheads point to the impression of an underlying seta. G, area posterior to the right anterior median eye (AME) that includes structures reminiscent of neuropile (NP). H, I, close-up of the neuronal tissue shown in G and H, respectively. Images show a dense neuropile, consisting of unmyelinated axons. J, close-up of individual axons (AX) with a diameter of c. 1 μm. K, schematic drawing of the neuronal tissue in the corpus pedunculatus, a part of the anterior salticid syncerebrum that processes signals from the lateral eye [drawing adopted from (Hill 2006: fig. 36)]; the red rectangle marks a neuropile that is reminiscent to the structures depicted in H. Green rectangles mark areas that are depicted at larger magnifications in other panels. Scale bars: 100 μm (A); 50 μm (B, C, G); 25 μm (H); 10 μm (D, E, F, I); 2.5 μm (J).
Figure 3 in escription and evolutionary biogeography of the first Miocene jumping spider (Aranaea: Salticidae) from a southern continent
Figure 3. Australian representatives of the two extant Simaethina genera: A, C, E, Simaetha sp. (female); B, D, F, Simaethula sp. (female). Specimens are shown in dorsal view (A, B), lateral view (C, D) and frontal view (E, F). Scale bars: 0.5 mm (B, D, F), 1 mm (A, C, E).
Figure 6 in escription and evolutionary biogeography of the first Miocene jumping spider (Aranaea: Salticidae) from a southern continent
Figure 6. Predicted bioclimatic distribution of modern Viciriini spiders in Australia. A, B, habitat suitability for Simaetha and Simaethula, respectively. The darker the colour used for each point in the final map, the more likely the taxon is to be present. Red circle, location of the McGraths Flat fossil site. Yellow circle, sites with present-day bioclimatic conditions similar to those of McGraths Flat during the time of its deposition. Abbreviations: MF, McGraths Flat; CNP, Conondale National Park, BNP, Bulburin National Park; BGBNP, Bowling Green Bay National Park; WA, Western Australia; NT, Northern Territory; QLD, Queensland; NSW, New South Wales; ACT, Australian Capital Territory; VIC, Victoria; SA, South Australia; TAS, Tasmania.
Figure 5 in escription and evolutionary biogeography of the first Miocene jumping spider (Aranaea: Salticidae) from a southern continent
Figure 5. Pharyngeal plate of Simaetha sp. indet. (AM F.161027) and two extant specimens. A, overview of the area in the cephalothorax of the fossil that contains structures resembling the cuticular lining of a pharyngeal plate (in the lower right corner) and neuronal tissue (NT; in the upper right corner). B, C, details of the cuticular lining shown in A; D, E details of the cuticular lining shown in C. F, G, pharyngeal plate of Simaethula sp. (ANIC 42001096) and Simaetha sp. (ANIC 42001615), respectively. H–J, details of the cuticular lining shown in F and G. Green rectangles mark areas that are depicted at larger magnifications in other panels. Scale bars: 100 μm (F, G); 50 μm (A); 10 μm (B, C, H, I); 5 μm (E, J), 2.5 μm (D).
Figure 2 in escription and evolutionary biogeography of the first Miocene jumping spider (Aranaea: Salticidae) from a southern continent
Figure 2. Simaetha sp. indet. (AM F.161027). Only known specimen: A, light microphotograph. B, scanning electron micrograph. C, morphological interpretation of light and electron micrographs. Abbreviations: LL, left leg; RR, right leg; AME, anterior median eye; PME, posterior median eye. Scale bars: 0.5 mm.
Figure 1 in escription and evolutionary biogeography of the first Miocene jumping spider (Aranaea: Salticidae) from a southern continent
Figure 1. The accumulation of extant Australian euophryne and astioid genera plotted against their estimated dates of origin. Changes in deepsea global temperature over the same period are shown on the top based on deep-sea oxygen and carbon isotope records and derived from Zachos et al. (2001). Key events such as the separation of Australia from Antarctica are indicated by vertical lines. The age of McGraths Flat, estimated at 11–16 Mya, based on a biostratigraphic analysis of pollen and spores (McCurry et al. 2022), is indicated by a red bar. The age of the Simaethina is indicated by a red dot. Adopted with changes from Richardson (2020: figs 1, 3).
Fig. 4 a in Evolutionary pattern of the forewing shape in the Neotropical genus of jumping plant-lice (Hemiptera: Psylloidea: Russelliana)
Fig. 4 a Reconstructed ancestral shape of Russelliana forewing. b The forewing of Russelliana viscosae
Fig. 3 in Evolutionary pattern of the forewing shape in the Neotropical genus of jumping plant-lice (Hemiptera: Psylloidea: Russelliana)
Fig. 3 Scatter plot from the PCA showing scores on the first two PCs for the 43 species of Russelliana. Shape changes are shown by deformation grids associated with extreme values (− 0.20 and + 0.10 on the PC1, and
Fig. 7 in Evolutionary pattern of the forewing shape in the Neotropical genus of jumping plant-lice (Hemiptera: Psylloidea: Russelliana)
Fig. 7 Geographical distribution of Russelliana. a Verbenaceae- (5 spp.) and Solanaceae-feeders (6 spp.) from gr. 2. b Verbenaceae- (5 spp.) and Solanaceae-feeders (2 spp.) from gr. 1. c Asteraceae- (4 spp.) and Fabaceae-feeders (13 spp.). d R. solanicola, Rosaceae- (2 spp.) and Solanaceae-feeders (7 spp.) from gr. 3. The original map was taken from the Natural Earth, free vector, and raster map data @naturalearthdata.com; the geographical coordinates were entered using the Google Earth. Subdivision into morphostructural provinces of the Andean Region follows Ramos (2009)
Fig. 1 Simplified phylogeny for 43 in Evolutionary pattern of the forewing shape in the Neotropical genus of jumping plant-lice (Hemiptera: Psylloidea: Russelliana)
Fig. 1 Simplified phylogeny for 43 species of Russelliana. Three nodes with numbers (1–3) correspond to clades 1–3 with the strongest synapomorphic support. Numbers at branches are bootstrap values. Source tree is mentioned in the text
Fig. 6 Phylogeny for 43 in Evolutionary pattern of the forewing shape in the Neotropical genus of jumping plant-lice (Hemiptera: Psylloidea: Russelliana)
Fig. 6 Phylogeny for 43 species of Russelliana excluding characters on forewing morphology. Three nodes with numbers (1–3) correspond to clades 1–3 derived from the phylogenetic tree (Fig. 1). Numbers at branches are bootstrap values
Fig. 5 in Evolutionary pattern of the forewing shape in the Neotropical genus of jumping plant-lice (Hemiptera: Psylloidea: Russelliana)
Fig. 5 Scatter plot from the CVA of 41 species of Russelliana (R. nana and queirozae are excluded). Shape changes are shown by the wireframes associated with extreme values (− 30.0 and + 30.0 on the CV1, and − 40.0
Evolutionary divergences mirror Pleistocene paleodrainages in a rapidly-evolving complex of oasis-dwelling jumping spiders (Salticidae, Habronattus tarsalis)
<p>We aimed to understand the diversification history of jumping spiders in the <i>Habronattus tarsalis</i> species complex, with particular emphasis on how history in this system might illuminate biogeographic patterns and processes in deserts of the western United States. Desert populations of <i>H. tarsalis</i> are now confined to highly discontinuous oasis-like habitats, but these habitats would have been periodically more connected during multiple pluvial periods of the Pleistocene. We estimated divergence times using relaxed molecular clock analyses of published transcriptome datasets. Geographic patterns of diversification history were assessed using phylogenetic and cluster analyses of original sequence capture, RADSeq and morphological data. Clock analyses of multiple replicate transcriptome datasets indicate mid- to late-Pleistocene divergence dates within the <i>H. tarsalis</i> group complex. Coalescent and concatenated phylogenetic analyses <span><span>indicate</span></span><span> </span>four early-diverging lineages (<i>H. mustaciata</i>, <i>H. ophrys</i>, and <i>H. tarsalis</i> from the Lahontan and Owens drainage basins), with remaining samples separated into larger clades from the Mojave desert, and western populations from the California Floristic Province of California and northern Baja California. Focusing on desert populations, there is a strong correspondence between RAD lineages and modern and/or paleodrainages, mirrored more finely in STRUCTURE and machine learning results. Non-metric multidimensional scaling analysis reveals a strong congruence between morphological clusters and genetic lineages, whether the latter represent previously described species or <i>H.tarsalis </i>RAD lineages. Here we have uncovered a system that adds to our regional biogeographic knowledge in unique ways, using multiple types of evidence in a broadly-distributed terrestrial taxon. At the same time, we have discovered rapid evolution of both novel morphological forms and diverging genetic lineages. The hierarchical nature of variation in the <i>H. tarsalis</i> complex, the minute range sizes of many forms, the high likelihood that geographic distributions have shrunk and expanded through time, and signs of introgression all align with an ephemeral speciation model.</p>
Data from: Inference of evolutionary jumps in large phylogenies using Lévy processes
While it is now widely accepted that the rate of phenotypic evolution may not necessarily be constant across large phylogenies, the frequency and phylogenetic position of periods of rapid evolution remain unclear. In his highly influential view of evolution, G. G. Simpson supposed that such evolutionary jumps occur when organisms transition into so called new adaptive zones, for instance after dispersal into a new geographic area, after rapid climatic changes, or following the appearance of an evolutionary novelty. Only recently, large, accurate and well calibrated phylogenies have become available that allow testing this hypothesis directly, yet inferring evolutionary jumps remains computationally very challenging. Here, we develop a computationally highly efficient algorithm to accurately infer the rate and strength of evolutionary jumps as well as their phylogenetic location. Following previous work we model evolutionary jumps as a compound process, but introduce a novel approach to sample jump configurations that does not require matrix inversions and thus naturally scales to large trees. We then make use of this development to infer evolutionary jumps in Anolis lizards and Loriinii parrots where we find strong signal for such jumps at the basis of clades that transitioned into new adaptive zones, just as postulated by Simpson's hypothesis.
Fig. 2 A in Evolutionary pattern of the forewing shape in the Neotropical genus of jumping plant-lice (Hemiptera: Psylloidea: Russelliana)
Fig. 2 A forewing of Russelliana magellanica with the 19 landmarks used to characterize its shape
Data from: Inference of evolutionary jumps in large phylogenies using Lévy processes
Open the record for dataset details and reuse information.
Evolutionary divergences mirror Pleistocene paleodrainages in a rapidly-evolving complex of oasis-dwelling jumping spiders (Salticidae, Habronattus tarsalis)
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.